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Self-Serve Infrastructure Provisioning

Self-Serve Infrastructure Provisioning

3
posts
2026

This post details the integration of Amazon S3 data access into Databricks using delegated IAM permissions. It outlines the technical implementation of allowing Databricks to securely access S3 buckets without requiring users to manage credentials directly, enhancing the self-serve infrastructure provisioning capabilities by simplifying data access for various workloads. This post extends this by detailing how Dow built a carbon footprint ledger on Databricks to accelerate sustainability at scale, leveraging the platform's capabilities for data management and analysis.

2026

Provisioning for the Agentic Era: How Databricks Built a Self-Serve Infrastructure Vending Machine

7/23/2026

This post introduces the concept and implementation of a self-serve infrastructure vending machine at Databricks. It describes the architectural design and technical considerations for building a system that allows engineers to provision infrastructure autonomously. This likely involves details on how the system handles resource requests, interacts with cloud providers, and ensures efficient and secure deployment of infrastructure components.

Connect Amazon S3 data to Databricks with Delegated IAM Permissions

7/23/2026

This post introduces the capability to connect Amazon S3 data to Databricks using delegated IAM permissions. It describes the technical approach for securely granting Databricks access to S3 buckets, likely involving IAM roles, policies, and potentially cross-account access configurations, thereby streamlining data ingestion and processing for users within the self-serve infrastructure framework.

How Dow Built a Carbon Footprint Ledger on Databricks to Accelerate Sustainability at Scale

7/21/2026

This post details how Dow built a carbon footprint ledger on Databricks to accelerate sustainability at scale. It describes the technical implementation of using Databricks for managing and analyzing carbon footprint data, likely involving data ingestion, processing, and visualization to support sustainability initiatives. This builds upon the existing self-serve infrastructure provisioning by demonstrating a concrete application of the platform for a critical business need.